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Oswaldo Morales Napoles
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Trends in flood losses in Europe over the past 150 years
D Paprotny, A Sebastian, O Morales-Nápoles, SN Jonkman
Nature communications 9 (1), 1985, 2018
391*2018
A probabilistic characterization of the relationship between fine particulate matter and mortality: elicitation of European experts
RM Cooke, AM Wilson, JT Tuomisto, O Morales, M Tainio, JS Evans
Environmental science & technology 41 (18), 6598-6605, 2007
1412007
Non-parametric Bayesian networks: Improving theory and reviewing applications
A Hanea, OM Napoles, D Ababei
Reliability Engineering & System Safety 144, 265-284, 2015
1272015
Further development of a Causal model for Air Transport Safety (CATS): Building the mathematical heart
BJM Ale, LJ Bellamy, R Van der Boom, J Cooper, RM Cooke, ...
Reliability Engineering & System Safety 94 (9), 1433-1441, 2009
1252009
Expert judgement for dependence in probabilistic modelling: A systematic literature review and future research directions
C Werner, T Bedford, RM Cooke, AM Hanea, O Morales-Napoles
European Journal of Operational Research 258 (3), 801-819, 2017
1172017
A copula-based Bayesian network for modeling compound flood hazard from riverine and coastal interactions at the catchment scale: An application to the Houston Ship Channel, Texas
A Couasnon, A Sebastian, O Morales-Nápoles
Water 10 (9), 1190, 2018
1152018
Eliciting conditional and unconditional rank correlations from conditional probabilities
O Morales, D Kurowicka, A Roelen
Reliability Engineering & System Safety 93 (5), 699-710, 2008
1052008
Counting vines
O Morales-Napoles
Dependence modeling: Vine copula handbook, 189-218, 2010
942010
About the number of vines and regular vines on n nodes
O Morales Napoles, RM Cooke, D Kurowicka
892010
HANZE: a pan-European database of exposure to natural hazards and damaging historical floods since 1870
D Paprotny, O Morales-Nápoles, SN Jonkman
Earth System Science Data 10 (1), 565-581, 2018
882018
Compound flood potential in Europe
D Paprotny, MI Vousdoukas, O Morales-Nápoles, SN Jonkman, L Feyen
Hydrology and Earth System Sciences Discussions 2018, 1-34, 2018
762018
A continuous Bayesian network for earth dams' risk assessment: methodology and quantification
O Morales-Nápoles, DJ Delgado-Hernández, D De-León-Escobedo, ...
Structure and Infrastructure Engineering 10 (5), 589-603, 2014
762014
Probabilistic design: Risk and reliability analysis in civil engineering
SN Jonkman, R Steenbergen, O Morales-Nápoles, A Vrouwenvelder, ...
Collegedictaat CIE4130, 2015
642015
Bayesian belief nets and vines in aviation safety and other applications
OM Nápoles
Delft: TU, 2009
59*2009
Analysis of axle and vehicle load properties through Bayesian Networks based on Weigh-in-Motion data
O Morales-Nápoles, RDJM Steenbergen
Reliability Engineering & System Safety 125, 153-164, 2014
582014
Pan-European hydrodynamic models and their ability to identify compound floods
D Paprotny, MI Vousdoukas, O Morales-Nápoles, SN Jonkman, L Feyen
Natural Hazards 101, 933-957, 2020
532020
Estimating extreme river discharges in Europe through a Bayesian network
D Paprotny, O Morales-Nápoles
Hydrology and Earth System Sciences 21 (6), 2615-2636, 2017
522017
A probabilistic approach to estimating residential losses from different flood types
D Paprotny, H Kreibich, O Morales-Nápoles, D Wagenaar, A Castellarin, ...
Natural Hazards 105, 2569-2601, 2021
502021
Estimating exposure of residential assets to natural hazards in Europe using open data
D Paprotny, H Kreibich, O Morales-Nápoles, P Terefenko, K Schröter
Natural Hazards and Earth System Sciences 20 (1), 323-343, 2020
492020
Applying a Bayesian network based on Gaussian copulas to model the hydraulic boundary conditions for hurricane flood risk analysis in a coastal watershed
A Sebastian, EJC Dupuits, O Morales-Nápoles
Coastal Engineering 125, 42-50, 2017
492017
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